Brian Strope
6 papers in the PaperMetrix corpus
Papers by this author
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Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models
2017
Sequence-to-sequence models have been applied to the conversation response generation problem where the source sequence is the conversation history and the target sequence is the response. Unlike translation, conversation responding is inherently creative. The generation …
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Universal Sentence Encoder
2018 · arXiv (Cornell University)
We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate performance on diverse transfer tasks. Two variants of the …
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Effective Parallel Corpus Mining using Bilingual Sentence Embeddings
2018
Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernandez Abrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the Third Conference on Machine Translation: Research Papers. 2018.
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Universal Sentence Encoder for English
2018
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, Ray Kurzweil. Proceedings of the 2018 Conference on Empirical Methods in Natural …
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Learning Semantic Textual Similarity from Conversations
2018
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the Third Workshop on Representation Learning for NLP. 2018.
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Multilingual Universal Sentence Encoder for Semantic Retrieval
2020
Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the 58th Annual Meeting of the Association for …